Retail Inventories Optimization - forecast optimal stock level that can meet customer needs, reduce waste and lessen storage; predict the demand based on previous buyers' activity.
Input data: characteristics of previous buyers' activity, operating parameters, season, stock, and budgets.
Scheduling Optimization - predict demand to schedule buses, airplanes, and elevators.
Input data: season, day-of-week, hour of the day, special events in the city/area, weather, etc.
Managerial decision making - select the best decision option using the classification capabilities of neural network.
Input data: initial problem parameters and final outcome.
Cash flow forecasting - maximize the use of resources with more accurate cash flow forecasts.
Input data: accounts payable, accounts receivable, sales forecasts, budgets, capital expenditures, stock, season, operating data, etc.
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